Runway
Runway API MCP Server provides AI assistants with direct access to Runway's generative AI capabilities for creating and editing videos and images. Built with TypeScript and the Model Context Protocol SDK, it exposes seven tools including text-to-image generation, image-to-video conversion, video upscaling, video editing with Runway Aleph, task management, and organization billing information retrieval. The implementation uses async task polling to handle Runway's processing workflow, automatically waiting for completion and returning generated media URLs, making it valuable for AI assistants that need to create visual content, generate marketing materials, or produce video content from text descriptions and reference images.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/runwayml/runway-api-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Runway from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.